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Deep neural networks for interpreting RNA-binding protein target preferences
Deep learning has become a powerful paradigm to analyze the binding sites of regulatory factors including RNA-binding proteins (RBPs), owing to its strength to learn complex features from possibly multiple sources of raw data. However, the interpretability of these models, which is crucial to improv...
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| Опубликовано в: : | Genome Res |
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| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Cold Spring Harbor Laboratory Press
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7050519/ https://ncbi.nlm.nih.gov/pubmed/31992613 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/gr.247494.118 |
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